Hazard perception of stroke drivers in a video-based Japanese hazard perception task
Objective: Hazard perception (HP) is the ability to identify a hazardous situation while driving. Though HP has been well studied among neurologically intact populations, little is known about the HP of neurologically impaired populations (in this study, stroke patients). The purpose of this study i...
Saved in:
Published in: | Traffic injury prevention Vol. 20; no. 3; pp. 264 - 269 |
---|---|
Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
England
Taylor & Francis
18-03-2019
Taylor & Francis Ltd |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Abstract | Objective: Hazard perception (HP) is the ability to identify a hazardous situation while driving. Though HP has been well studied among neurologically intact populations, little is known about the HP of neurologically impaired populations (in this study, stroke patients). The purpose of this study is, first, to investigate the HP of stroke patients and, second, to verify the effect of lesion side (right or left hemisphere) on HP, from the viewpoint of hazard types.
Methods: Sixty-seven neurologically intact age-matched older drivers and 63 stroke patients with valid driver's licenses conducted a video-based Japanese HP task. Participants were asked to indicate the hazardous events in the driving scenario. These events were classified into 3 types: (1) behavioral prediction hazards (BP), which are those where the cause is visible before it becomes a hazard; (2) environmental prediction hazards (EP), which are those where the ultimate hazard may be hidden from view; and (3) dividing and focusing attention hazards (DF), which are those where there is more than one potential hazard to monitor on approach.Participants also took part in the Trail Making Test (TMT) to evaluate visual information processing speed.
Results: The results showed that the number of responses was significantly fewer for stroke patients than for age-matched drivers for all hazard types (P < .001), and this difference was not affected by lesion side (P > .05). It was also found that stroke patients showed a slower response time than age-matched drivers only for BP (P < .001). The lesion side did not affect response latency (P > .05). Results of the TMT revealed that age-matched drivers completed the task significantly faster than stroke patients (P < .001) and that neither TMT-A nor TMT-B differentiated between patients with left hemisphere damage and patients with right hemisphere damage (P > .05).
Conclusions: Firstly, HP in stroke patients is low compared to age-matched drivers. Secondly, even if stroke patients notice hazards, their response may be delayed in a BP situation, due to a slower visual information processing speed. Thirdly, the lesion side does not appear to affect HP. |
---|---|
AbstractList | Hazard perception (HP) is the ability to identify a hazardous situation while driving. Though HP has been well studied among neurologically intact populations, little is known about the HP of neurologically impaired populations (in this study, stroke patients). The purpose of this study is, first, to investigate the HP of stroke patients and, second, to verify the effect of lesion side (right or left hemisphere) on HP, from the viewpoint of hazard types.
Sixty-seven neurologically intact age-matched older drivers and 63 stroke patients with valid driver's licenses conducted a video-based Japanese HP task. Participants were asked to indicate the hazardous events in the driving scenario. These events were classified into 3 types: (1) behavioral prediction hazards (BP), which are those where the cause is visible before it becomes a hazard; (2) environmental prediction hazards (EP), which are those where the ultimate hazard may be hidden from view; and (3) dividing and focusing attention hazards (DF), which are those where there is more than one potential hazard to monitor on approach.Participants also took part in the Trail Making Test (TMT) to evaluate visual information processing speed.
The results showed that the number of responses was significantly fewer for stroke patients than for age-matched drivers for all hazard types (P < .001), and this difference was not affected by lesion side (P > .05). It was also found that stroke patients showed a slower response time than age-matched drivers only for BP (P < .001). The lesion side did not affect response latency (P > .05). Results of the TMT revealed that age-matched drivers completed the task significantly faster than stroke patients (P < .001) and that neither TMT-A nor TMT-B differentiated between patients with left hemisphere damage and patients with right hemisphere damage (P > .05).
Firstly, HP in stroke patients is low compared to age-matched drivers. Secondly, even if stroke patients notice hazards, their response may be delayed in a BP situation, due to a slower visual information processing speed. Thirdly, the lesion side does not appear to affect HP. Objective: Hazard perception (HP) is the ability to identify a hazardous situation while driving. Though HP has been well studied among neurologically intact populations, little is known about the HP of neurologically impaired populations (in this study, stroke patients). The purpose of this study is, first, to investigate the HP of stroke patients and, second, to verify the effect of lesion side (right or left hemisphere) on HP, from the viewpoint of hazard types. Methods: Sixty-seven neurologically intact age-matched older drivers and 63 stroke patients with valid driver's licenses conducted a video-based Japanese HP task. Participants were asked to indicate the hazardous events in the driving scenario. These events were classified into 3 types: (1) behavioral prediction hazards (BP), which are those where the cause is visible before it becomes a hazard; (2) environmental prediction hazards (EP), which are those where the ultimate hazard may be hidden from view; and (3) dividing and focusing attention hazards (DF), which are those where there is more than one potential hazard to monitor on approach.Participants also took part in the Trail Making Test (TMT) to evaluate visual information processing speed. Results: The results showed that the number of responses was significantly fewer for stroke patients than for age-matched drivers for all hazard types (P < .001), and this difference was not affected by lesion side (P > .05). It was also found that stroke patients showed a slower response time than age-matched drivers only for BP (P < .001). The lesion side did not affect response latency (P > .05). Results of the TMT revealed that age-matched drivers completed the task significantly faster than stroke patients (P < .001) and that neither TMT-A nor TMT-B differentiated between patients with left hemisphere damage and patients with right hemisphere damage (P > .05). Conclusions: Firstly, HP in stroke patients is low compared to age-matched drivers. Secondly, even if stroke patients notice hazards, their response may be delayed in a BP situation, due to a slower visual information processing speed. Thirdly, the lesion side does not appear to affect HP. Objective: Hazard perception (HP) is the ability to identify a hazardous situation while driving. Though HP has been well studied among neurologically intact populations, little is known about the HP of neurologically impaired populations (in this study, stroke patients). The purpose of this study is, first, to investigate the HP of stroke patients and, second, to verify the effect of lesion side (right or left hemisphere) on HP, from the viewpoint of hazard types.Methods: Sixty-seven neurologically intact age-matched older drivers and 63 stroke patients with valid driver’s licenses conducted a video-based Japanese HP task. Participants were asked to indicate the hazardous events in the driving scenario. These events were classified into 3 types: (1) behavioral prediction hazards (BP), which are those where the cause is visible before it becomes a hazard; (2) environmental prediction hazards (EP), which are those where the ultimate hazard may be hidden from view; and (3) dividing and focusing attention hazards (DF), which are those where there is more than one potential hazard to monitor on approach.Participants also took part in the Trail Making Test (TMT) to evaluate visual information processing speed.Results: The results showed that the number of responses was significantly fewer for stroke patients than for age-matched drivers for all hazard types (P < .001), and this difference was not affected by lesion side (P > .05). It was also found that stroke patients showed a slower response time than age-matched drivers only for BP (P < .001). The lesion side did not affect response latency (P > .05). Results of the TMT revealed that age-matched drivers completed the task significantly faster than stroke patients (P < .001) and that neither TMT-A nor TMT-B differentiated between patients with left hemisphere damage and patients with right hemisphere damage (P > .05).Conclusions: Firstly, HP in stroke patients is low compared to age-matched drivers. Secondly, even if stroke patients notice hazards, their response may be delayed in a BP situation, due to a slower visual information processing speed. Thirdly, the lesion side does not appear to affect HP. |
Author | Nogawa, Takashi Kojima, Takao Kanaya, Kunihiro Sasaki, Tsutomu Yamada, Kyohei |
Author_xml | – sequence: 1 givenname: Tsutomu surname: Sasaki fullname: Sasaki, Tsutomu email: t-sasaki@chitose-reha.ac.jp organization: Hokkaido Chitose College of Rehabilitation – sequence: 2 givenname: Takashi surname: Nogawa fullname: Nogawa, Takashi organization: Department of Clinical Psychology, Kakeyu Hospital, Kakeyu-Misayama Rehabilitation Center – sequence: 3 givenname: Kyohei surname: Yamada fullname: Yamada, Kyohei organization: Division of Occupational Therapy, Hokkaido Chitose College of Rehabilitation – sequence: 4 givenname: Takao surname: Kojima fullname: Kojima, Takao organization: Department of Rehabilitation, Shuyukai Hospital – sequence: 5 givenname: Kunihiro surname: Kanaya fullname: Kanaya, Kunihiro organization: Department of Rehabilitation Medicine, Sasson-Sugata Clinic |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31013171$$D View this record in MEDLINE/PubMed |
BookMark | eNp9kE1LAzEQhoMo1lZ_ghLw4mVrPjZNclOKWkXwUsFbyOYDt91u1mSr1F_v1rYeFDzNMDzvzPD0wX4dagfAKUZDjAS6xIwKyYQYEoTlEDMuJRrtgaP1PJOMv-z_9EL0QD-lGUIEC8QOQY9ihCnm-AhMJ_pTRwsbF41r2jLUMHiY2hjmDtpYvruYYFlDDd9L60JW6OQsfNCNrl1y8PVPutVpfgwOvK6SO9nWAXi-vZmOJ9nj0939-PoxMzkhbUY0Y7mV0nIhpCOUeGmI8DmnBTEjzEeMe0GRzvPc2EJgSWTBiPQS2cJJbOgAXGz2NjG8LV1q1aJMxlVV91xYJkUIppIIykcdev4LnYVlrLvvOooLTAX6ptiGMjGkFJ1XTSwXOq4URmqtXe20q7V2tdXe5c6225fFwtmf1M5zB1xtgLL2IS70R4iVVa1eVSH6qGtTpjX8340veKeSAw |
CitedBy_id | crossref_primary_10_1007_s10111_020_00623_2 crossref_primary_10_3390_electronics10091114 crossref_primary_10_1016_j_aap_2022_106569 crossref_primary_10_1016_j_trf_2023_10_008 |
Cites_doi | 10.1016/0001-4575(83)90002-7 10.1016/0001-4575(86)90043-6 10.1016/0001-4575(89)90048-1 10.1016/j.aap.2009.03.016 10.1111/1467-9450.00317 10.1016/j.aap.2005.10.014 10.1016/j.aap.2016.06.002 10.1177/026921559200600402 10.1111/j.1600-0404.1999.tb07363.x 10.1159/000368219 10.1111/jgs.12936 10.1093/arclin/acp109 10.1111/j.1475-1313.2005.00290.x 10.1212/01.wnl.0000341931.35870.49 10.1016/j.aap.2011.04.007 10.1016/S0003-9993(97)90307-5 10.1179/1074935714Z.0000000018 10.1097/00002060-200005000-00007 10.1016/0022-3956(75)90026-6 10.1016/j.aap.2007.03.003 10.1053/apmr.2002.31179 10.1068/p281075 10.1016/j.aap.2015.10.006 10.3109/09638288.2014.958619 10.1590/0004-282x20170184 10.1080/02699050902788428 10.1093/arclin/acu057 10.1016/j.jsr.2014.02.005 10.1016/j.aap.2011.09.049 10.1016/j.aap.2013.07.008 10.1016/j.aap.2010.01.017 10.1016/j.aap.2010.08.010 10.1016/j.aap.2010.07.001 10.1007/s00415-012-6625-0 10.1053/apmr.2003.50085 10.1016/j.jns.2015.04.043 10.1016/S0003-9993(03)00765-2 10.1002/gps.2367 10.1111/1467-9450.00179 10.1016/j.aap.2010.12.028 10.1002/gps.1604 10.1016/j.aap.2010.02.001 |
ContentType | Journal Article |
Copyright | 2019 Taylor & Francis Group, LLC 2019 2019 Taylor & Francis Group, LLC |
Copyright_xml | – notice: 2019 Taylor & Francis Group, LLC 2019 – notice: 2019 Taylor & Francis Group, LLC |
DBID | NPM AAYXX CITATION 7QF 7QQ 7SC 7SE 7SP 7SR 7T2 7TA 7TB 7U5 8BQ 8FD C1K F28 FR3 H8D H8G JG9 JQ2 KR7 L7M L~C L~D 7X8 |
DOI | 10.1080/15389588.2019.1579906 |
DatabaseName | PubMed CrossRef Aluminium Industry Abstracts Ceramic Abstracts Computer and Information Systems Abstracts Corrosion Abstracts Electronics & Communications Abstracts Engineered Materials Abstracts Health and Safety Science Abstracts (Full archive) Materials Business File Mechanical & Transportation Engineering Abstracts Solid State and Superconductivity Abstracts METADEX Technology Research Database Environmental Sciences and Pollution Management ANTE: Abstracts in New Technology & Engineering Engineering Research Database Aerospace Database Copper Technical Reference Library Materials Research Database ProQuest Computer Science Collection Civil Engineering Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional MEDLINE - Academic |
DatabaseTitle | PubMed CrossRef Materials Research Database Civil Engineering Abstracts Aluminium Industry Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Mechanical & Transportation Engineering Abstracts Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Ceramic Abstracts Materials Business File METADEX Environmental Sciences and Pollution Management Computer and Information Systems Abstracts Professional Aerospace Database Copper Technical Reference Library Engineered Materials Abstracts Health & Safety Science Abstracts Solid State and Superconductivity Abstracts Engineering Research Database Corrosion Abstracts Advanced Technologies Database with Aerospace ANTE: Abstracts in New Technology & Engineering MEDLINE - Academic |
DatabaseTitleList | PubMed Materials Research Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Economics |
EISSN | 1538-957X |
EndPage | 269 |
ExternalDocumentID | 10_1080_15389588_2019_1579906 31013171 1579906 |
Genre | Articles Journal Article |
GrantInformation_xml | – fundername: Japan Society for the Promotion of Science, Grant-in-Aid for Young Scientists (B) grantid: 26750182 |
GroupedDBID | --- ..I .7F .QJ 0BK 0R~ 123 29Q 30N 36B 4.4 53G 5VS 6PF AAAVI AAENE AAJMT AALDU AAMIU AAPUL AAQRR AAWTL ABBKH ABCCY ABFIM ABHAV ABJVF ABLIJ ABPEM ABQHQ ABTAI ABXUL ACGFS ACHQT ACIWK ACPRK ACTIO ADCVX ADGTB ADLRE ADXPE AEGYZ AEISY AENEX AEOZL AEPSL AEYOC AFKVX AFOLD AFRAH AFWLO AGDLA AGMYJ AHDLD AIJEM AIRXU AJWEG AKBVH AKOOK ALMA_UNASSIGNED_HOLDINGS ALQZU AQRUH AVBZW AWYRJ BLEHA CCCUG CE4 CS3 DGEBU DKSSO DU5 EBD EBS EJD EMB EMOBN EV9 E~A E~B F5P FUNRP FVPDL GTTXZ H13 HF~ HZ~ H~P IPNFZ J.P KYCEM LJTGL M4Z NA5 O9- PQEST PQQKQ RIG RNANH ROSJB RTWRZ S-T SNACF SV3 TEN TFL TFT TFW TNC TTHFI TWF UT5 UU3 V1K ZGOLN ~S~ ABJNI ABPAQ ABXYU AHDZW NPM TBQAZ TDBHL TUROJ AAYXX CITATION 7QF 7QQ 7SC 7SE 7SP 7SR 7T2 7TA 7TB 7U5 8BQ 8FD C1K F28 FR3 H8D H8G JG9 JQ2 KR7 L7M L~C L~D 7X8 |
ID | FETCH-LOGICAL-c422t-2a554d99d7889e232f9c28f473b2c617657f830a444cdb81929b529f90dbe91c3 |
IEDL.DBID | TFW |
ISSN | 1538-9588 |
IngestDate | Fri Oct 25 00:06:53 EDT 2024 Tue Nov 19 04:51:12 EST 2024 Fri Aug 23 00:57:42 EDT 2024 Wed Oct 16 00:51:08 EDT 2024 Tue Jun 13 19:57:45 EDT 2023 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 3 |
Keywords | hazard perception Vehicle driving stroke processing speed |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c422t-2a554d99d7889e232f9c28f473b2c617657f830a444cdb81929b529f90dbe91c3 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
PMID | 31013171 |
PQID | 2278138076 |
PQPubID | 186141 |
PageCount | 6 |
ParticipantIDs | proquest_miscellaneous_2213928376 pubmed_primary_31013171 proquest_journals_2278138076 crossref_primary_10_1080_15389588_2019_1579906 informaworld_taylorfrancis_310_1080_15389588_2019_1579906 |
PublicationCentury | 2000 |
PublicationDate | 2019-03-18 |
PublicationDateYYYYMMDD | 2019-03-18 |
PublicationDate_xml | – month: 03 year: 2019 text: 2019-03-18 day: 18 |
PublicationDecade | 2010 |
PublicationPlace | England |
PublicationPlace_xml | – name: England – name: Philadelphia |
PublicationTitle | Traffic injury prevention |
PublicationTitleAlternate | Traffic Inj Prev |
PublicationYear | 2019 |
Publisher | Taylor & Francis Taylor & Francis Ltd |
Publisher_xml | – name: Taylor & Francis – name: Taylor & Francis Ltd |
References | CIT0010 CIT0032 CIT0031 CIT0012 CIT0034 CIT0011 CIT0033 CIT0014 CIT0036 CIT0013 CIT0016 CIT0038 CIT0015 CIT0037 CIT0018 CIT0017 CIT0039 CIT0019 CIT0041 CIT0040 CIT0021 CIT0043 CIT0020 CIT0042 CIT0001 CIT0023 CIT0045 Renge K (CIT0035) 1998; 22 CIT0044 CIT0003 CIT0025 CIT0002 CIT0024 CIT0005 CIT0027 CIT0004 CIT0026 CIT0007 CIT0029 CIT0006 CIT0028 CIT0009 Horswill MS (CIT0022) 2008; 63 CIT0008 McKenna FP (CIT0030) 2006; 12 |
References_xml | – ident: CIT0003 doi: 10.1016/0001-4575(83)90002-7 – ident: CIT0016 doi: 10.1016/0001-4575(86)90043-6 – volume: 63 start-page: 212 year: 2008 ident: CIT0022 publication-title: Psychol Sci contributor: fullname: Horswill MS – ident: CIT0002 doi: 10.1016/0001-4575(89)90048-1 – ident: CIT0039 doi: 10.1016/j.aap.2009.03.016 – ident: CIT0028 doi: 10.1111/1467-9450.00317 – ident: CIT0036 doi: 10.1016/j.aap.2005.10.014 – ident: CIT0015 doi: 10.1016/j.aap.2016.06.002 – ident: CIT0033 doi: 10.1177/026921559200600402 – volume: 12 start-page: 1 year: 2006 ident: CIT0030 publication-title: J Exp Psychol. contributor: fullname: McKenna FP – ident: CIT0020 doi: 10.1111/j.1600-0404.1999.tb07363.x – ident: CIT0013 doi: 10.1159/000368219 – ident: CIT0024 doi: 10.1111/jgs.12936 – ident: CIT0040 doi: 10.1093/arclin/acp109 – ident: CIT0042 doi: 10.1111/j.1475-1313.2005.00290.x – ident: CIT0012 doi: 10.1212/01.wnl.0000341931.35870.49 – ident: CIT0044 doi: 10.1016/j.aap.2011.04.007 – ident: CIT0018 doi: 10.1016/S0003-9993(97)90307-5 – ident: CIT0014 doi: 10.1179/1074935714Z.0000000018 – ident: CIT0025 doi: 10.1097/00002060-200005000-00007 – ident: CIT0019 doi: 10.1016/0022-3956(75)90026-6 – ident: CIT0043 doi: 10.1016/j.aap.2007.03.003 – ident: CIT0017 doi: 10.1053/apmr.2002.31179 – ident: CIT0011 doi: 10.1068/p281075 – ident: CIT0008 doi: 10.1016/j.aap.2015.10.006 – ident: CIT0031 doi: 10.3109/09638288.2014.958619 – ident: CIT0006 doi: 10.1590/0004-282x20170184 – ident: CIT0001 doi: 10.1080/02699050902788428 – ident: CIT0041 doi: 10.1093/arclin/acu057 – ident: CIT0032 doi: 10.1016/j.jsr.2014.02.005 – volume: 22 start-page: 103 year: 1998 ident: CIT0035 publication-title: IATSS Res. contributor: fullname: Renge K – ident: CIT0010 doi: 10.1016/j.aap.2011.09.049 – ident: CIT0004 doi: 10.1016/j.aap.2013.07.008 – ident: CIT0045 doi: 10.1016/j.aap.2010.01.017 – ident: CIT0038 doi: 10.1016/j.aap.2010.08.010 – ident: CIT0009 doi: 10.1016/j.aap.2010.07.001 – ident: CIT0023 doi: 10.1007/s00415-012-6625-0 – ident: CIT0029 doi: 10.1053/apmr.2003.50085 – ident: CIT0021 doi: 10.1016/j.jns.2015.04.043 – ident: CIT0034 doi: 10.1016/S0003-9993(03)00765-2 – ident: CIT0027 doi: 10.1002/gps.2367 – ident: CIT0037 doi: 10.1111/1467-9450.00179 – ident: CIT0007 doi: 10.1016/j.aap.2010.12.028 – ident: CIT0026 doi: 10.1002/gps.1604 – ident: CIT0005 doi: 10.1016/j.aap.2010.02.001 |
SSID | ssj0021805 |
Score | 2.2451255 |
Snippet | Objective: Hazard perception (HP) is the ability to identify a hazardous situation while driving. Though HP has been well studied among neurologically intact... Hazard perception (HP) is the ability to identify a hazardous situation while driving. Though HP has been well studied among neurologically intact populations,... |
SourceID | proquest crossref pubmed informaworld |
SourceType | Aggregation Database Index Database Publisher |
StartPage | 264 |
SubjectTerms | Age Data processing Driver behavior Drivers hazard perception Hazards Health hazards Hemispheric laterality Information processing Latency Lesions Licenses Older people Perception Population studies Populations Processing speed Response time Stroke Vehicle driving |
Title | Hazard perception of stroke drivers in a video-based Japanese hazard perception task |
URI | https://www.tandfonline.com/doi/abs/10.1080/15389588.2019.1579906 https://www.ncbi.nlm.nih.gov/pubmed/31013171 https://www.proquest.com/docview/2278138076 https://search.proquest.com/docview/2213928376 |
Volume | 20 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LT8MwDI5gF7jwfgwGChLXjqaPNTlOsGniwIUhuEWtkwo0aZ3W7sKvx-5LTGjiAMcqcZo6dmyn9hfGbhMAaa1UTioiDFCUq5xk4BonBBUgTaQGQEfZk-fo6U0-jAgmZ9jUwlBaJcXQaQUUUe7VpNxxkjcZcXekpCqUZWKW6oswwh2VQLcJcxslejp-bUMuIcskxkqtkaSp4dk0ypp1WsMu3eyBlpZovP8P33DA9mo3lA8ruTlkW3Z-xHaaKuX8mE0n8ScKD1-0iS88S3leLLOZ5WZZZnPwjzmPORXyZQ5ZQ8Mf0fTSlZb8_Qd1EeezE_YyHk3vJ059A4MDgecVjhejt2GUMhgoK4vOV6rAk2kQ-YkH6PsMwiiVvhsHQQAmIWw1lYSeSpVrEqsE-KesM8_m9pxxDMtCAZbgdWQQA45nPOv6AOjdAwjosn7Deb2ogDa0qPFLG2ZpYpaumdVl6vv66KI84Uir60i0_wttr1lMXetsrqkoWBD-PjbftM2obfQLBZmXragPeswEGIR9ziohaGeLrxTojYmLP0zsku3SIyW5CdljnWK5sldsOzer61KwvwB_B_Ke |
link.rule.ids | 315,782,786,1455,1509,27935,27936,58024,59737,60526 |
linkProvider | Taylor & Francis |
linkToHtml | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV07T8MwELagDGXh_SgUMBJrSpxHY48IWhUoXSiCzUpsR6BKTdWkC7-eu7xEhSoGmP1Icr7zfefcfSbkKlKKG8OFFbMAAhRhCyvq2trylfBgTCC6Co-yB8_B6I3f9ZAmp66FwbRKjKHjgigi36vRuPEwukqJu0YrFT7PM7NEh_kBbKnddbIB4NjFAGzcf62DLsbzNMbCsGFMVcWzapol_7TEXroag-a-qL_9H1-xQ7ZKJEpvCtXZJWtmukeaVaFyuk_Gg_AT9IfO6twXmsQ0zebJxFA9zxM66MeUhhRr-RILHaKmD-B98VZL-v5jdBamkwPy0u-NbwdWeQmDpTzHySwnBMChhdAQKwsD-CsWyuGxF7iRowD-dP0g5q4dep6ndIT0aiLyHRELW0dGMOUeksY0mZpjQiEy85kyyLDDvVDBfNoxtqsUAHylmGqRTiV6OSu4NiQrKUwrYUkUliyF1SLi-wLJLD_kiIsbSaT7y9h2tZqyNNtUYl0wQwp-aL6sm8Hg8C8KCC9ZYB8AzcgZBH2OCi2o3xYeyQCQsZM_vNgFaQ7GT0M5vB89npJNbMKcN8bbpJHNF-aMrKd6cZ5r-RfnefbF |
linkToPdf | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3JTsMwELUoSMCFfSkUMBLXlDhLYx8roCqLKiSK4GYlXgRCaqomvfD1zGSpqFDFAc5ekoxnPG-cmWdCLhKluDFcOJZFEKAIVzhJx9VOqEQAYyLRUXiU3X-KBq_8-gZpcrp1LQymVWIMbUuiiGKvRuMea1tnxF2ikYqQF4lZos3CCHbUToOshBwcDqj0sPcyi7kYL7IYS7uGMXURz6Jp5tzTHHnpYghauKLe5j98xBbZqHAo7ZaKs02WzGiHrNVlytkuGfbjT9AeOp5lvtDU0iyfpB-G6kmRzkHfRzSmWMmXOugONb0D34t3WtK3H6PzOPvYI8-9m-FV36muYHBU4Hm548UAN7QQGiJlYQB9WaE8boPITzwF4KcTRpb7bhwEgdIJkquJJPSEFa5OjGDK3yfLo3RkDgmFuCxkyiC_Dg9iBfNpz7i-UgDvlWKqSdq15OW4ZNqQrCIwrYUlUViyElaTiO_rI_PiiMOW95FI_5exrXoxZWW0mcSqYIYE_NB8PmsGc8N_KCC8dIp9ADIjYxD0OSiVYPa28EgGcIwd_eHFzsjq43VPPtwO7o_JOrZgwhvjLbKcT6bmhDQyPT0tdPwL1Oz1aQ |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Hazard+perception+of+stroke+drivers+in+a+video-based+Japanese+hazard+perception+task&rft.jtitle=Traffic+injury+prevention&rft.au=Sasaki%2C+Tsutomu&rft.au=Nogawa%2C+Takashi&rft.au=Yamada%2C+Kyohei&rft.au=Kojima%2C+Takao&rft.date=2019-03-18&rft.pub=Taylor+%26+Francis&rft.issn=1538-9588&rft.eissn=1538-957X&rft.volume=20&rft.issue=3&rft.spage=264&rft.epage=269&rft_id=info:doi/10.1080%2F15389588.2019.1579906&rft.externalDocID=1579906 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1538-9588&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1538-9588&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1538-9588&client=summon |